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Correction: Accurate, automated classifcation of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug-in modulesopen access

Authors
Lee, Do WeonSong, Dae SeokHan, Hyuk-SooRo, Du Hyun
Issue Date
Apr-2025
Publisher
대한슬관절학회
Citation
Knee Surgery & Related Research, v.37, no.1
Indexed
SCOPUS
ESCI
KCI
Journal Title
Knee Surgery & Related Research
Volume
37
Number
1
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/58327
DOI
10.1186/s43019-025-00268-3
ISSN
2234-0726
2234-2451
Abstract
Following publication of the original article [1], we have been notified that body text contained incorrectly published parts. The original text was as follows: The accuracy was the lowest for KL grade 1 (46%) and the highest for KL grade 4 (93%). Table 2 Sensitivity and specificity of the proposed model for each Kellgren–Lawrence grade This has been corrected to: The accuracy was the lowest for KL grade 1 (43%) and the highest for KL grade 4 (96%). Sensitivity and specificity of the proposed model for each Kellgren–Lawrence grade The original article was updated. © The Author(s) 2025.
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